diff --git a/README.md b/README.md
index 6de6ffc..7544cf1 100644
--- a/README.md
+++ b/README.md
@@ -163,6 +163,10 @@
                operation.learning(right, rightTagging, true);
                operation.learning(wrong, wrongTagging, true);
            }
+           //精准模式全部学习结束一定要调用此方法，不调用识别会报错
+           //templeConfig.startLvq();//原型向量量化
+           //如果使用物体在图片中的定位功能，全部学习结束一定要调用此方法，不调用识别会报错
+            //templeConfig.boxStudy();//边框回归
            Matrix right = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/test/a101.png");
            Matrix wrong = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/b/b1000.png");
            //精准模式检测单张图片将直接返回分类id,而不是通过回调来获取分类概率
diff --git a/src/test/java/org/wlld/HelloWorld.java b/src/test/java/org/wlld/HelloWorld.java
index 80c748b..ade9614 100644
--- a/src/test/java/org/wlld/HelloWorld.java
+++ b/src/test/java/org/wlld/HelloWorld.java
@@ -54,9 +54,8 @@ public class HelloWorld {
 //        }
 //        templeConfig.boxStudy();//边框聚类
 //        //精准模式在全部学习结束的时候一定要使用此方法，速度模式不要调用此方法
-//        templeConfig.startLvq();//原型向量量化
-        //templeConfig.boxStudy();//边框回归
-        //templeConfig.clustering();//进行聚类
+         templeConfig.startLvq();//原型向量量化
+         templeConfig.boxStudy();//边框回归
         for (int j = 1; j < 2; j++) {
             Matrix right = picture.getImageMatrixByLocal("/Users/lidapeng/Desktop/myDocment/c/c" + j + ".png");
             Map<Integer, List<FrameBody>> map = operation.lookWithPosition(right, j);